As Presented at Semtech SF, NY, and London 2012.
Join us - Wednesday, December 12th at 10AM Pacific.
Having engaged several Fortune 500 companies with projects to develop Semantic Technology solutions we have identified several consistent requirements that have become the foundation for successful deployments of Semantic Technologies.
The overarching pattern that we see in these companies can best be described as real time entity tracking in order to perform real time business analytics. Typical entities are students, telephone customers, credit cards or insurance policies.
We identified and built out four components as the basis of our Semantic Technology Projects. Component one is an ETL system that takes data from various input streams and transforms the data into events, encoded as RDF triples, that go into a publish subscribe queue. To facilitate this we created a number of plugins for the open source ETL tool Talend to provide an R2RML mapping from data into triples. The second component is a forward chaining/backward chaining rule system that takes events out of the queue and combines it with the already existing knowledge about a particular entity and generates new knowledge. For some applications we see more than 10,000 triples per entity. Rules need to be able to deal with a new event in a fraction of a second. The third component is a machine learning component that is trained to generate predictions based on the features of a particular entity (for example: what is the customer going to call about when calling the call center). These predictions are again coded as individual triples. Finally, the fourth component is a reporting system that allows us to do real time analysis over all existing entities.
Register to attend this webinar here.
New features include:
See the full list of new features and improvements here.
Top-Braid Composer (TBC) is a graphical development environment for modeling data, connecting data sources, and designing queries, rules and semantic data processing chains.
The AllegroGraph TopBraid Composer Plugin lets the TBC user connect to an AllegroGraph server; load data into an AllegroGraph triple store; and execute SPARQL queries against the triple store. If the user has the proper AllegroGraph privileges, it is also possible to issue Prolog queries and to use RDFS++ inference.
For additional information, see the documentation here.
From the Repository Overview page, click the New link in the Queries menu. This exposes a page where you can edit a SPARQL or Prolog query to run against this repository.
For additional conference information, see here.
New Features include:
For additional information on the new release, see here.
As Presented at NoSQL Now! 2012.
Every day we speak with software engineers trying to find a productive approach for application development that requires a combination of BigData, Fast Data, and Complex Data solutions. In this presentation we will first describe when to use BigData solutions like Hadoop and Cassandra, then we will cover concepts around Fast Data solutions like in-memory graph databases, and finally we discuss use cases for Complex Data that thrive with Semantic Technologies.
The second part of this talk discusses a combined platform architecture for real time semantic entity tracking that needs the scale of Hadoop but also the speed of in-memory databases and the complexity of semantic technologies. We will discuss best practices for managing scalability solutions, ETL pipeline strategies, and complex event processing (CEP).
Watch this recorded webinar here.
Videos covering AllegroGraph and related technologies.
Visit AllegroGraph's Channel here.
Semantic Case Study: Pfizer Moves Semantic Tech Forward, Helping Business Respond To Cost Pressures And Realize Efficiency Gains
A couple of years back, The Semantic Web Blog visited with Vijay Bulusu to gain some insight into how pharma giant Pfizer Inc. was moving forward with semantic technology. At the recent Semantic Technology and Business Conference in New York City, Bulusu, director, informatics and innovation at Pfizer, provided additional perspective on the issue - Read the full article here.
Semantic Case Study: EPIM ReportingHub.The E&P Information Management Association (EPIM) launched EPIM ReportingHub (ERH), an interesting semantic technology project in the field of oil and gas. Read the full case study here.
Tactical Semantics: Extracting Situational Knowledge from Voice Transcripts using Ontology-Driven Text Analysis. Dr. Kent D. Bimson, Vice President, Research, Modus Operandi, Inc. View the details here.
Building a Personalized eCommerce Agent: Introducing the Thrive.AI app. Marc C. Hadfield, CTO, Vital AI. View the details here.
Practical Lessons in Developing an Enterprise-Wide Semantic Application. Craig Hanson, Director, New Products, Vision and architecture, Amdocs. View the details here.
Intel - Big Memory, Big Data, and the Semantic Web. "Techniques like MapReduce and NoSQL products based on them are fine for some problems," said Mitch Shults, Mission-Critical Segment Strategist, Intel Data Center Group. "To achieve high performance against meaningful amounts of triplestore data, however, you just can't afford to be traipsing all over the network to pull things together. This result demonstrates the incredible value that affordable large-scale, big-memory server platforms built around the Intel Xeon E7 server platform can deliver for next-generation workloads like triple stores." For additional information, see here.
Semanticweb.com: What One Trillion Means for the Semantic Web. Mitchell Shults commented on the significance of Franz's recent success loading one trillion triplestores. Shults writes, Triplestores are perfect for making sense out of extremely complex data. However, a triplestore is only useful if massive quantities of information can be loaded, updated and effectively queried in a reasonable amount of time. That is why Franz's Technology announcement is so interesting. Read the rest of the article here.
Amdocs - "Semantics - the B2C Game Changer" (Video): Bill Guinn, CTO Product Enablers, Amdocs Product Business Unit, delivered a keynote at the 2011 Semantic Technology Conference in San Francisco. His talk was one of the highlights for anyone interested in how Semantic Technology can be used in enterprise systems. Watch the video here.
KRSTE.my (Knowledge Resource for Science and Technology Excellence, Malaysia) is an initiative, based on AllegroGraph, by MOSTI and spearheaded by MASTIC to address science and technology issues and challenges faced by the community, the ministry and the country. KRSTE.my is designed to be a Single Point Access Facilities (SPAF) providing intelligent collaborative knowledge management and learning services platform on Science and Technology and Innovation. More info here.
Recorded past Semantic Technologies Webinars: Recorded Webinars
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